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← Core Methods
Machine Learning
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Core Methods
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Feature Selection
462 directly classified papers
Papers per year
2001: 1
2003: 11
2004: 4
2005: 1
2006: 6
2007: 13
2008: 8
2009: 11
2010: 17
2011: 14
2012: 18
2013: 26
2014: 20
2015: 14
2016: 23
2017: 27
2018: 24
2019: 28
2020: 35
2021: 29
2022: 34
2023: 36
2024: 32
2025: 26
2026: 4
Papers
Efficient Kernel Selection via Spectral Analysis
IJCAI 2017
Entity Extraction in Biomedical Corpora: An Approach to Evaluate Word Embedding Features with PSO based Feature Selection
EACL 2017
Top-k Supervise Feature Selection via ADMM for Integer Programming
IJCAI 2017
Corpus Selection Approaches for Multilingual Parsing from Raw Text to Universal Dependencies
CONLL 2017
Feature Selection via Scaling Factor Integrated Multi-Class Support Vector Machines
IJCAI 2017
Multiple Indefinite Kernel Learning for Feature Selection
IJCAI 2017
Hierarchical Feature Selection with Recursive Regularization
IJCAI 2017
Adaptive Hypergraph Learning for Unsupervised Feature Selection
IJCAI 2017
Using Argument-based Features to Predict and Analyse Review Helpfulness
EMNLP 2017
Variable Importance Using Decision Trees
NIPS 2017
Discovering Potential Correlations via Hypercontractivity
NIPS 2017
Feature Selection as Causal Inference: Experiments with Text Classification
CONLL 2017
Feature Selection Based on CQCCs for Automatic Speaker Verification Spoofing
INTERSPEECH 2017
Adaptive Feature Selection: Computationally Efficient Online Sparse Linear Regression under RIP
ICML 2017
Enumerating Distinct Decision Trees
ICML 2017
Selective Inference for Sparse High-Order Interaction Models
ICML 2017
Efficient Distributed Learning with Sparsity
ICML 2017
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction
ICML 2017
Adaptive Group Sparse Multi-task Learning via Trace Lasso
IJCAI 2017
Optimal Feature Selection for Decision Robustness in Bayesian Networks
IJCAI 2017
Estimating Mutual Information for Discrete-Continuous Mixtures
NIPS 2017
Consistent and Efficient Nonparametric Different-Feature Selection
AISTATS 2017
Kernel Feature Selection via Conditional Covariance Minimization
NIPS 2017
Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection
IJCAI 2017
Never Abandon Minorities: Exhaustive Extraction of Bursty Phrases on Microblogs Using Set Cover Problem
EMNLP 2017
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